Edison Scientific is seeking a forward-deployed AI engineer to embed on-site with pharma and biotech R&D teams. In this role, you will take end-to-end ownership of how Edison’s AI agents translate into measurable value, with an emphasis on integration reliability, cadence with partners, and turning real customer and product learnings into roadmap direction.
Working within the Applied AI department, you will lead delivery from early discovery through scaled production deployment, partner closely with research teams, and serve as the go-to technical contact for AI within the client organization.
Responsibilities
- Translate complex scientific and operational requirements into a delivery roadmap, spanning discovery through scaled production deployment.
- Embed with R&D teams, understand their research workflows, and drive value creation that Edison delivers to partners.
- Map the customer’s scientific and operational landscape to identify where AI agents create the most leverage and impact.
- Design, implement, and iterate on production-ready integrations through fast cycles, often owning features from architecture to rollout.
- Troubleshoot and debug issues in real time to ensure reliability and adoption, acting as the primary AI technical contact for the client organization.
- Capture pain points, unmet needs, and product gaps, and collaborate with internal Applied AI and engineering teams to shape future capabilities.
- Partner with GTM and account executives to scope engagements, define success metrics, and support pre-sales technical evaluation.
Requirements
- 2+ years of professional software engineering experience, with a track record of shipping production-grade software in fast-paced or ambiguous environments.
- Strong proficiency in Python and/or TypeScript/JavaScript, with deep fundamentals.
- Hands-on experience building and deploying LLM-powered or agentic AI systems in production, including prompt engineering, RAG pipelines, model evaluation, and orchestration frameworks.
- AI fluency: ability to reason through systems architecture, debug at the infrastructure level, and write clean production code independently without relying on AI-assisted coding tools.
- Comfortable with 20–40% travel at peak times, operating independently, making decisions with incomplete information, and driving outcomes with limited oversight.
- Proven problem-solving skills, including real-time debugging and end-to-end feature ownership.
- Strong communication and relationship-building skills to earn trust with scientists, executives, and engineering teams.
- Deep curiosity and willingness to learn new scientific domains quickly and adapt to rapidly changing priorities.
- Degree in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field, or equivalent demonstrated depth through professional experience.
Technologies
- Python
- TypeScript
- JavaScript
- LLM-powered
- Agentic AI systems
- Prompt engineering
- RAG pipelines
- Model evaluation
- Orchestration frameworks
Bonus Points For
- Experience in life sciences, pharma, biotech, or scientific R&D as a researcher, consultant, or engineer.
- Familiarity with regulated data environments (GxP, HIPAA, 21 CFR Part 11, or equivalent compliance frameworks).
- Background as a technical founder, forward-deployed engineer, or management consultant.
- A science degree or research experience alongside engineering skills.
Benefits
- Competitive salary and equity.
- Full healthcare coverage; pay 100% of premiums for you and your dependents.
- Yearly new parent stipend and fertility coverage through Carrot.
- Mental health support through Rula (in-network therapist and psychiatrist network with fast availability).
- 12 weeks of paid parental leave for maternity, paternity, and adoption.
- Pet care support with a yearly employer-funded stipend for your animal companions.
- Commuter benefits for transit and parking with pre-tax dollars.
- 401(k) company matching.
- $300 health and wellness benefit quarterly.
- Lunch on us every day you are in the office, and dinner on us when you are working late.
- Regular team off-sites and company events.
Location: Boston, NY (onsite). Edison Scientific also lists additional U.S. locations including San Francisco, Boston, and New York, with remote available for U.S. only.
Employment type: Full time. Department: Applied AI. Location type: On-site.
Compensation: USD 200,000 - 350,000 per year, offers equity.
